Scott Reid
1.9K posts
@ScottReid__
Built https://t.co/jnHWl5IPhY, acquired. Mobile Apps, Investing, Startups. Fan of network effects
Here's the most contentious part of Ryan Cohen's CNBC Squawk Box interview about the GameStop-EBAY acquisition. This is a HEATED back and forth, uncommon for financial news. $GME Sorkin, at one point is in disbelief at RC's repetitive answering to his question.
learnt this the very hard way Exposure is key
Substack: couldn't get sign-ups. Open rates were poor. Shut it down. Beehiiv: 40-50% open rates. Now running 4 lists. Moving more over. Platform choice is not a minor detail.
This might be the funniest chart in tech right now. Apple's capex strategy has to be the luckiest accident in history: Amazon, Microsoft, Meta, Google, are in a spending arms race plowing over $100B PER QUARTER into data centers - While Apple spending is down 19% Meanwhile: - Mac Minis sold out bc everyone's buying them to run OpenClaw - Mac Studios have a 6-week backlog - Someone ran Qwen 3.5 on an iPhone yesterday - The M5 Max just shipped with 128GB of unified memory and runs Llama 70B from anywhere The company spending the least on AI infrastructure accidentally became the AI infrastructure
If one stock defined the SaaS era, it was Constellation Software. It rolled up 500+ niche software firms on premise that their products were so embedded in customers’ workflows that demand was relatively inelastic to steep annual price hikes. It’s now the face of AI disruption.
Which ecosystem has the best user experience ?
I now constantly get questions about the SAAS meltdown, role of AI, system of records etc. I don't have an answer to all these. But I do know that we saw an acceleration in our business in Q2, Q3, and now finished the year with accelerating Q4. The question is, why? Short answer: AI. But the underlying reason is subtle. We are growing fast because we are finally removing the biggest bottleneck in data: the technical barrier to entry. For years, if you didn’t know SQL, Python, you were locked out of the value chain. That has changed fundamentally with the 𝐆𝐞𝐧𝐢𝐞 𝐟𝐚𝐦𝐢𝐥𝐲, and it is the "secret sauce" behind our recent momentum: • 𝐆𝐞𝐧𝐢𝐞: Analysts can query data without any SQL. I use this every day myself. • 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐆𝐞𝐧𝐢𝐞: Builds end-to-end AI models for you, similar to Cursor for ML on your data. • 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐆𝐞𝐧𝐢𝐞: Write Spark pipelines, does plumbing, troubleshooting. We've been talking about DATA + AI democratization, but generative AI finally enabled it in a way that wasn't possible before. That's why we're seeing a market response. Take 𝐋𝐚𝐤𝐞𝐛𝐚𝐬𝐞 𝐏𝐨𝐬𝐭𝐠𝐫𝐞𝐬. We launched this serverless engine for agents and apps recently. At 8 months into its journey, its revenue is already 2x what our Data Warehouse product was at the same stage. All this taken together, we ended up with the following stats for Q4: 🚀 $5.4B Revenue Run-Rate, growing >65% YoY 🚀 $1.4B AI Revenue Run-Rate 🚀 FCF Positive for the year 🚀 NRR >>140% databricks.com/company/newsro…
